CN114052717A - Biological gait feature recognition device - Google Patents
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- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
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- A61B5/1036—Measuring load distribution, e.g. podologic studies
- A61B5/1038—Measuring plantar pressure during gait
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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Abstract
The invention discloses a biological gait feature recognition device, which comprises a controller and a plurality of biological gait feature recognition units; the biological gait feature identification units are arranged in a matrix manner along the horizontal direction; any biological gait feature recognition unit comprises at least one piezoresistive pressure sensor and at least one piezoelectric pressure sensor; the piezoresistive pressure sensor and the piezoelectric pressure sensor are both electrically connected with the controller; the controller is used for acquiring static pressure parameters through the piezoresistive pressure sensor and acquiring dynamic pressure parameters through the piezoelectric pressure sensor, so that synchronous acquisition of the static pressure parameters and the dynamic pressure parameters is realized. The biological gait information can be calculated by combining the static pressure parameter and the dynamic pressure parameter, so that the biological gait feature recognition function is realized. The piezoresistive pressure sensor and the piezoelectric pressure sensor are mature in technology and low in cost.
Description
Technical Field
The invention relates to the technical field of biological identification, in particular to a biological gait feature identification device.
Background
Gait recognition, as a biometric technology, has unique advantages that other biometric technologies do not have, namely, recognition potential at a long distance or in a low video quality situation, and gait is difficult to hide or disguise.
At present, many biometric technologies, such as fingerprint recognition, palm geometry recognition, iris recognition, retina recognition, face recognition, signature recognition, voice recognition, etc., have appeared, but some of them are still in experimental stage. Fingerprint recognition, iris recognition, voice recognition have been well utilized in various fields. However, the gait feature-based recognition device is complex in structure at the present stage and is not suitable for popularization and use. Therefore, how to provide a biological gait feature recognition device based on gait recognition, which has a simple and effective structure, is an urgent problem to be solved by those skilled in the art.
Disclosure of Invention
The invention aims to provide a biological gait feature recognition device which is simple in structure.
In order to solve the above technical problem, the present invention provides a biological gait feature recognition device, which includes a controller and a plurality of biological gait feature recognition units;
the biological gait feature recognition units are arranged in a matrix along the horizontal direction; any one biological gait feature recognition unit comprises at least one piezoresistive pressure sensor and at least one piezoelectric pressure sensor;
the piezoresistive pressure sensor and the piezoelectric pressure sensor are both electrically connected with the controller; the controller is used for acquiring static pressure parameters through the piezoresistive pressure sensor and acquiring dynamic pressure parameters through the piezoelectric pressure sensor.
Optionally, in any one of the biological gait feature recognition units, the piezoresistive pressure sensors and the piezoelectric pressure sensors correspond to each other one to one.
Optionally, in any one of the biological gait feature recognition units, the piezoresistive pressure sensor and the piezoelectric pressure sensor are located on the same horizontal plane.
Optionally, one of the piezoresistive pressure sensors is adjacent to one of the piezoelectric pressure sensors along the first direction;
the piezoresistive pressure sensor is adjacent to the piezoelectric pressure sensor along a second direction, and the second direction is perpendicular to the first direction.
Optionally, any one of the piezoresistive pressure sensors and the adjacent piezoelectric pressure sensor are attached to each other.
Optionally, the piezoresistive pressure sensor and the piezoelectric pressure sensor are rectangular or isosceles triangular.
Optionally, the piezoelectric pressure sensor includes a piezoelectric layer, a first electrode layer, a second electrode layer, a first circuit layer, and a second circuit layer;
the first electrode layer is attached to a first surface of the piezoelectric layer, and the second electrode layer is attached to the piezoelectric layer and is attached to a second surface of the piezoelectric layer opposite to the first surface;
the first circuit layer is electrically connected with the first electrode layer, and the second circuit layer is electrically connected with the second electrode layer; the controller is electrically connected to the piezoelectric layer through the first and second circuit layers.
Optionally, the first circuit layer and the first electrode layer are integrated; the second circuit layer and the second electrode layer are of an integrated structure.
Optionally, the piezoresistive pressure sensor and the piezoelectric pressure sensor are located between the first buffer layer and the second buffer layer.
Optionally, the thickness of the first buffer layer ranges from 0.1mm to 1cm, inclusive; the thickness of the second buffer layer ranges from 0.1mm to 1cm inclusive.
The invention provides a biological gait feature recognition device, which comprises a controller and a plurality of biological gait feature recognition units; the biological gait feature identification units are arranged in a matrix manner along the horizontal direction; any biological gait feature recognition unit comprises at least one piezoresistive pressure sensor and at least one piezoelectric pressure sensor; the piezoresistive pressure sensor and the piezoelectric pressure sensor are both electrically connected with the controller; the controller is used for acquiring static pressure parameters through the piezoresistive pressure sensor and acquiring dynamic pressure parameters through the piezoelectric pressure sensor.
Static pressure parameters applied to the gait feature recognition device in the biological movement process can be obtained through the piezoresistive pressure sensors arranged in a matrix, and dynamic pressure parameters applied to the gait feature recognition device in the biological movement process can be obtained through the piezoelectric pressure sensors arranged in the matrix, so that the static pressure parameters and the dynamic pressure parameters are synchronously acquired; and the biological gait information can be calculated by combining the static pressure parameter and the dynamic pressure parameter, so that the biological gait feature recognition function is realized. The technology of the piezoresistive pressure sensor and the piezoelectric pressure sensor is mature, the cost is low, the structure of the biological gait feature recognition device is simple, the cost is low, and the biological gait feature recognition device is convenient to popularize and use.
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In order to more clearly illustrate the embodiments or technical solutions of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained based on these drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a biological gait feature recognition apparatus according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an embodiment of a biological gait feature recognition apparatus according to the present invention;
FIG. 3 is a schematic cross-sectional view of the area A of FIG. 2;
FIG. 4 is a graph of the static pressure identified by the apparatus of FIG. 3;
FIG. 5 is a graph of static pressure after filtration;
FIG. 6 is another graph of static pressure after filtration.
In the figure: 1. biological gait feature recognition unit, 2, piezoresistive pressure sensor, 3, piezoelectric pressure sensor, 101, piezoelectric layer, 102, first electrode layer, 103, second electrode layer, 104, first circuit layer, 105, second circuit layer, 106, first buffer layer, 107 and second buffer layer.
Detailed Description
The core of the invention is to provide a biological gait feature recognition device. In the prior art, the gait feature-based recognition device is complex in structure at the current stage and is not suitable for popularization and use.
The biological gait feature recognition device provided by the invention comprises a controller and a plurality of biological gait feature recognition units; the biological gait feature identification units are arranged in a matrix manner along the horizontal direction; any biological gait feature recognition unit comprises at least one piezoresistive pressure sensor and at least one piezoelectric pressure sensor; the piezoresistive pressure sensor and the piezoelectric pressure sensor are both electrically connected with the controller; the controller is used for acquiring static pressure parameters through the piezoresistive pressure sensor and acquiring dynamic pressure parameters through the piezoelectric pressure sensor.
Static pressure parameters applied to the gait feature recognition device in the biological movement process can be obtained through the piezoresistive pressure sensors arranged in a matrix, and dynamic pressure parameters applied to the gait feature recognition device in the biological movement process can be obtained through the piezoelectric pressure sensors arranged in the matrix, so that the static pressure parameters and the dynamic pressure parameters are synchronously acquired; and the biological gait information can be calculated by combining the static pressure parameter and the dynamic pressure parameter, so that the biological gait feature recognition function is realized. The technology of the piezoresistive pressure sensor and the piezoelectric pressure sensor is mature, the cost is low, the structure of the biological gait feature recognition device is simple, the cost is low, and the biological gait feature recognition device is convenient to popularize and use.
In order that those skilled in the art will better understand the disclosure, the invention will be described in further detail with reference to the accompanying drawings and specific embodiments. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a biological gait feature recognition device according to an embodiment of the present invention.
Referring to fig. 1, in the embodiment of the present invention, the biological gait feature recognition apparatus includes a controller and a plurality of biological gait feature recognition units 1; the biological gait feature recognition units 1 are arranged in a matrix along the horizontal direction; any one biological gait feature recognition unit 1 comprises at least one piezoresistive pressure sensor 2 and at least one piezoelectric pressure sensor 3; the piezoresistive pressure sensor 2 and the piezoelectric pressure sensor 3 are both electrically connected with the controller; the controller is used for acquiring static pressure parameters through the piezoresistive pressure sensor 2 and acquiring dynamic pressure parameters through the piezoelectric pressure sensor 3.
The biological gait feature recognition unit 1 is the most basic recognition unit in the whole biological gait feature recognition device, and in the embodiment of the invention, each biological gait feature recognition unit 1 can realize the static pressure parameter in the biological gait feature, namely the pressure related parameter; and a dynamic pressure parameter, i.e. a pressure rate-of-change related parameter. In the embodiment of the present invention, the biological gait feature recognition units 1 need to be arranged in a matrix along the horizontal direction, so as to ensure that when the user walks on the surface of the biological gait feature recognition device, the biological gait feature recognition device can collect multiple continuous sets of static pressure parameters and dynamic pressure parameters in the horizontal direction, so as to extract biological gait features such as the walking speed of the user from the multiple sets of static pressure parameters and dynamic pressure parameters.
The biological gait feature recognition unit 1 comprises at least one piezoresistive pressure sensor 2 and at least one piezoelectric pressure sensor 3, so that any biological gait feature recognition unit 1 can realize measurement of static pressure parameters and dynamic pressure parameters. The piezoresistive pressure sensor 2 can be used for sensing static pressure parameters in the biological motion process, namely when the piezoresistive pressure sensor 2 is stressed, the resistance value of the piezoresistive pressure sensor 2 can be changed; the piezoelectric pressure sensor 3 can sense dynamic pressure parameters in the process of biological movement, namely, when the piezoelectric pressure sensor 3 is stressed, the voltage values at two ends of the piezoelectric pressure sensor can be changed. For the specific working principle of the piezoresistive pressure sensor 2 and the piezoelectric pressure sensor 3, reference may be made to the prior art, and details thereof are not described herein.
The controller needs to be electrically connected with the piezoresistive pressure sensors 2 and the piezoelectric pressure sensors 3 in each biological gait feature recognition unit 1, so that the controller can acquire static pressure parameters through the piezoresistive pressure sensors 2 and acquire dynamic pressure parameters through the piezoelectric pressure sensors 3. Typically, the controller is further configured to calculate gait characteristics of the living being, such as gait characteristics like a stride length, from the acquired static pressure parameters and the dynamic pressure parameters. The specific type of gait feature is not particularly limited in the embodiments of the present invention, and is determined as the case may be.
In general, in any one of the biological gait feature recognition units 1, the piezoresistive pressure sensors 2 and the piezoelectric pressure sensors 3 are in one-to-one correspondence in the embodiment of the invention.
That is, the number of the piezo pressure sensors 3 and the resistive pressure sensors 2 in the biological gait feature recognition unit 1 is equal. In general, the distance between the piezoresistive pressure sensors 2 and the piezoelectric pressure sensors 3 corresponding to each other is usually short, so that gait characteristics generated at the same moment when the user moves in the same area can be obtained in the form of static pressure parameters and dynamic pressure parameters, so that the controller can analyze the gait characteristics of the user through the piezoresistive pressure sensors 2 and the piezoelectric pressure sensors 3 corresponding to each other.
Specifically, in the embodiment of the present invention, in any one of the biological gait feature recognition units 1, the piezoresistive pressure sensor 2 and the piezoelectric pressure sensor 3 are located at the same horizontal plane. That is, the piezoresistive pressure sensor 2 and the piezoelectric pressure sensor 3 are generally located on the same plane, so that the piezoresistive pressure sensor 2 and the piezoelectric pressure sensor 3 can both ensure good measurement accuracy and cannot be interfered by other structures.
Specifically, in the embodiment of the present invention, a piezoresistive pressure sensor 2 is adjacent to a piezoelectric pressure sensor 3 along the first direction; the piezoresistive pressure sensor 2 is adjacent to the piezoelectric pressure sensor 3 along a second direction, and the second direction is perpendicular to the first direction.
That is, in the embodiment of the present invention, the piezoresistive pressure sensors 2 and the piezoelectric pressure sensors 3 may be distributed in a grid pattern, so that the piezoresistive pressure sensors 2 and the piezoelectric pressure sensors 3 may be uniformly distributed in the whole biological gait feature recognition device. And no matter which direction the user walks on the surface of the biological gait feature recognition device, namely no matter how the unit area is selected, the at least one piezoresistive pressure sensor 2 and the at least one piezoelectric pressure sensor 3 are covered, so that the static pressure parameter and the dynamic pressure parameter can be measured simultaneously. Of course, other distribution manners may be selected in the embodiment of the present invention, or the piezoresistive pressure sensors 2 and the piezoelectric pressure sensors 3 may be distributed in a stacked manner, which is not particularly limited in the embodiment of the present invention.
Specifically, in the embodiment of the present invention, in order to ensure that the density between the piezoresistive pressure sensors 2 and the piezoelectric pressure sensors 3 in the biological gait feature recognition apparatus is increased as much as possible, any piezoresistive pressure sensor 2 is usually attached to the adjacent piezoelectric pressure sensor 3, that is, there is usually no distance between the piezoresistive pressure sensor 2 and the adjacent piezoelectric pressure sensor 3, so as to increase the density of the devices in the biological gait feature recognition apparatus as much as possible. In general, in the embodiment of the present invention, the piezoresistive pressure sensors 2 and the piezoelectric pressure sensors 3 are rectangular or isosceles triangular, so as to ensure that the piezoresistive pressure sensors 2 and the piezoelectric pressure sensors 3 can be distributed in a grid shape, and no gap is left between the piezoresistive pressure sensors 2 and the piezoelectric pressure sensors 3. Of course, the piezoresistive pressure sensor 2 and the piezoelectric pressure sensor 3 may be arranged in a mannerThe present invention is not particularly limited to the embodiment having other configurations. Specifically, the areas of the piezoresistive pressure sensor 2 and the piezoelectric pressure sensor 3 are usually 0.1mm2To 1cm2Inclusive.
The invention provides a biological gait feature recognition device, which comprises a controller and a plurality of biological gait feature recognition units 1; the biological gait feature recognition units 1 are arranged in a matrix along the horizontal direction; any biological gait feature recognition unit 1 comprises at least one piezoresistive pressure sensor 2 and at least one piezoelectric pressure sensor 3; the piezoresistive pressure sensor 2 and the piezoelectric pressure sensor 3 are both electrically connected with the controller; the controller is used for acquiring static pressure parameters through the piezoresistive pressure sensor 2 and acquiring dynamic pressure parameters through the piezoelectric pressure sensor 3.
Static pressure parameters applied to the gait feature recognition device in the biological movement process can be obtained through the piezoresistive pressure sensors 2 arranged in a matrix, and dynamic pressure parameters applied to the gait feature recognition device in the biological movement process can be obtained through the piezoelectric pressure sensors 3 arranged in the matrix, so that the static pressure parameters and the dynamic pressure parameters are synchronously acquired; and the biological gait information can be calculated by combining the static pressure parameter and the dynamic pressure parameter, so that the biological gait feature recognition function is realized. The technology of the piezoresistive pressure sensor 2 and the piezoelectric pressure sensor 3 is mature, the cost is low, the structure of the biological gait feature recognition device is simple, the cost is low, and the biological gait feature recognition device is convenient to popularize and use.
The details of the biological gait feature recognition device provided by the present invention will be described in detail in the following embodiments of the invention.
Referring to fig. 2, fig. 3, fig. 4, fig. 5 and fig. 6, fig. 2 is a schematic structural diagram of an embodiment of a biological gait feature recognition apparatus according to the invention; FIG. 3 is a schematic cross-sectional view of the area A of FIG. 2; FIG. 4 is a graph of the static pressure identified by the apparatus of FIG. 3; FIG. 5 is a graph of static pressure after filtration; FIG. 6 is another graph of static pressure after filtration.
In addition to the above-described embodiments, the present embodiment further specifically limits the structure of the piezoelectric pressure sensor 3 in the biological gait feature recognition device. The rest of the contents are already described in detail in the above embodiments of the present invention, and are not described herein again. For the specific structure of the piezoresistive pressure sensor 2, reference may be made to the prior art, and details thereof are not described herein. The piezoresistive pressure sensor 2 typically requires a power supply to be connected in order to detect the degree of change in resistance in the piezoresistive pressure sensor 2 in order to detect the static pressure parameter.
In the embodiment of the present invention, the piezoelectric pressure sensor 3 includes a piezoelectric layer 101, a first electrode layer 102, a second electrode layer 103, a first wiring layer 104, and a second wiring layer 105; the first electrode layer 102 is attached to a first surface of the piezoelectric layer 101, and the second electrode layer 103 is attached to the piezoelectric layer 101 and is attached to a second surface of the piezoelectric layer 101 opposite to the first surface; the first wiring layer 104 is electrically connected to the first electrode layer 102, and the second wiring layer 105 is electrically connected to the second electrode layer 103; the controller is electrically connected to the piezoelectric layer 101 through the first wiring layer 104 and the second wiring layer 105.
The piezoelectric layer 101 is a functional layer made of a piezoelectric material, and the material of the piezoelectric layer 101 is usually a material having a piezoelectric effect, such as piezoelectric ceramics (PZT) or a piezoelectric polymer film (PVDF). When the piezoelectric layer 101 receives an external pressure, an electrical signal is generated on the first surface and the second surface. The first electrode layer 102 is specifically attached to the first surface of the piezoelectric layer 101, the second electrode layer 103 is attached to the second surface of the piezoelectric layer 101, and the first electrode layer 102 and the second circuit layer can be used for transmitting an electrical signal generated by the piezoelectric layer 101. The material of the first electrode layer 102 and the second electrode layer 103 may be gold, silver, copper, or other commonly used conductive materials, and they may be attached to the surface of the piezoelectric layer 101 by various physical and chemical deposition methods to form conductive electrodes.
The first circuit layer 104 is generally located on a surface of the first electrode layer 102 opposite to the piezoelectric layer 101, so as to be electrically connected to the first electrode layer 102; the second wiring layer 105 is usually located on a surface of the second electrode layer 103 on a side facing away from the piezoelectric layer 101 to be electrically connected to the second electrode layer 103. The controller obtains an electrical signal generated by the piezoelectric layer 101 through the first line layer 104 and the second line layer 105, so as to analyze the dynamic pressure parameter according to the electrical signal. The first circuit layer 104 and the second circuit layer 105 may be designed as a complex pattern or other patterns, and are not limited in the embodiment of the invention.
Specifically, the circuit layer and the electrode layer are both used for transmitting an electrical signal generated by the piezoelectric layer 101, so that the first circuit layer 104 and the first electrode layer 102 may be an integrated structure; the second wiring layer 105 and the second electrode layer 103 may be integrated. The integrated structure can effectively reduce the contact resistance between the first circuit layer 104 and the first electrode layer 102 and enhance the structural strength; meanwhile, the contact resistance between the second circuit layer 105 and the second electrode layer 103 is reduced, and the structural strength is enhanced.
In an embodiment of the present invention, the biological gait feature recognition device may include a first buffer layer 106 and a second buffer layer 107 which are oppositely disposed, and the piezoresistive pressure sensor 2 and the piezoelectric pressure sensor 3 are both located between the first buffer layer 106 and the second buffer layer 107.
When the gait characteristics of the user are measured, the user needs to walk on the surface of the biological gait characteristic recognition device, buffer layers are correspondingly arranged on two sides of the piezoresistive pressure sensor 2 and the piezoelectric pressure sensor 3, namely the piezoresistive pressure sensor 2 and the piezoelectric pressure sensor 3 are arranged between the first buffer layer 106 and the second buffer layer 107 which are oppositely arranged, the restart of the sensors when the user moves can be effectively absorbed through the first buffer layer 106 and the second buffer layer 107, and the sensors are effectively protected from being damaged.
Specifically, in the embodiment of the present invention, it is required to ensure that the first buffer layer 106 and the second buffer layer 107 have good toughness and load-bearing capacity, and the material of the first buffer layer 106 and the second buffer layer 107 is usually plastic, rubber, or other artificial organic polymer material. Typically, the thickness of the first buffer layer 106 ranges from 0.1mm to 1cm, inclusive; the thickness of the second buffer layer 107 ranges from 0.1mm to 1cm, inclusive. The first buffer layer 106 and the second buffer layer 107 can ensure that the stress of the core sensing component is uniform and the core sensing component is not damaged by overlarge impact force, and the materials and the thicknesses of the corresponding first buffer layer 106 and the corresponding second buffer layer 107 can be the same or different, depending on the specific situation.
When the first buffer layer 106 and the second buffer layer 107 are provided, the first circuit layer 104 may be specifically attached to the surface of the first buffer layer 106 facing the piezoelectric layer 101 by film printing or soldering, and the second circuit layer 105 may be also specifically attached to the surface of the second buffer layer 107 facing the piezoelectric layer 101 by film printing or soldering, so as to form a conductive network.
Referring to fig. 4, when the biological gait feature recognition unit 1 is specifically arranged in an 18 × 8 matrix, that is, when the biological gait feature recognition device has a resolution of 18 × 8, a static pressure value of a person with a weight of 50KG at a certain moment on the right foot of the person standing is collected, and a static pressure map drawn according to the static pressure value is shown in fig. 4, at this time, when the step feature of the user is recognized, the static pressure map may be processed, for example, a static pressure value with a bearing capacity greater than 1N is extracted as the step feature of the user, and the result is shown in fig. 5; static pressure values with a bearing capacity greater than 0.5N may also be extracted as the step characteristics of the user, the result of which is shown in fig. 6. Of course, the specific filtering manner of fig. 4 may be set according to the actual situation, and is not limited in detail here.
According to the biological gait feature recognition device provided by the embodiment of the invention, the first buffer layer 106 and the second buffer layer 107 are arranged, so that the core sensing component is uniformly stressed and is not damaged by overlarge impact force.
The embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The biological gait feature recognition device provided by the invention is described in detail above. The principles and embodiments of the present invention are explained herein using specific examples, which are presented only to assist in understanding the method and its core concepts. It should be noted that, for those skilled in the art, it is possible to make various improvements and modifications to the present invention without departing from the principle of the present invention, and those improvements and modifications also fall within the scope of the claims of the present invention.
Claims (10)
1. A biological gait feature recognition device is characterized by comprising a controller and a plurality of biological gait feature recognition units;
the biological gait feature recognition units are arranged in a matrix along the horizontal direction; any one biological gait feature recognition unit comprises at least one piezoresistive pressure sensor and at least one piezoelectric pressure sensor;
the piezoresistive pressure sensor and the piezoelectric pressure sensor are both electrically connected with the controller; the controller is used for acquiring static pressure parameters through the piezoresistive pressure sensor and acquiring dynamic pressure parameters through the piezoelectric pressure sensor.
2. The apparatus of claim 1, wherein the piezoresistive pressure sensors and the piezoelectric pressure sensors are in one-to-one correspondence in any of the biological gait feature recognition units.
3. The apparatus of claim 2, wherein the piezoresistive pressure sensor and the piezoelectric pressure sensor are located at the same level in any of the biological gait feature recognition units.
4. The apparatus of claim 3, wherein a piezoresistive pressure sensor is adjacent to a piezoelectric pressure sensor in a first direction;
the piezoresistive pressure sensor is adjacent to the piezoelectric pressure sensor along a second direction, and the second direction is perpendicular to the first direction.
5. The apparatus of claim 4, wherein any one of said piezoresistive pressure sensors is attached to an adjacent one of said piezoelectric pressure sensors.
6. The apparatus of claim 5, wherein the piezoresistive pressure sensors and the piezoelectric pressure sensors are rectangular or isosceles triangular.
7. The apparatus of any one of claims 1 to 6, wherein the piezoelectric pressure sensor comprises a piezoelectric layer, a first electrode layer, a second electrode layer, a first circuit layer, and a second circuit layer;
the first electrode layer is attached to a first surface of the piezoelectric layer, and the second electrode layer is attached to the piezoelectric layer and is attached to a second surface of the piezoelectric layer opposite to the first surface;
the first circuit layer is electrically connected with the first electrode layer, and the second circuit layer is electrically connected with the second electrode layer; the controller is electrically connected to the piezoelectric layer through the first and second circuit layers.
8. The device of claim 7, wherein the first circuit layer and the first electrode layer are a unitary structure; the second circuit layer and the second electrode layer are of an integrated structure.
9. The apparatus of claim 7, further comprising a first buffer layer and a second buffer layer disposed opposite each other, wherein the piezoresistive pressure sensor and the piezoelectric pressure sensor are both located between the first buffer layer and the second buffer layer.
10. The apparatus of claim 9, wherein the first buffer layer thickness ranges from 0.1mm to 1cm, inclusive; the thickness of the second buffer layer ranges from 0.1mm to 1cm inclusive.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010752635.2A CN114052717B (en) | 2020-07-30 | 2020-07-30 | Biological gait feature recognition device |
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| CN202010752635.2A CN114052717B (en) | 2020-07-30 | 2020-07-30 | Biological gait feature recognition device |
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| CN114052717A true CN114052717A (en) | 2022-02-18 |
| CN114052717B CN114052717B (en) | 2024-08-13 |
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